About me
Ziyue Yu is a Ph.D. candidate in Computer Applied Technology at Macao Polytechnic University (MPU) , jointly advised by Prof. Giovanni Pau from University of Bologna / University of California, Los Angeles, and Dr. Wuman Luo, Prof. Tansim Tse from MPU. He got master and bachelor degree from Hong Kong Baptist University and Zhejiang Chinese Medical University, respectively. His interest is data mining in healthcare (e.g., disease risk prediction, drug recommendation).
I am looking for a postdoctoral position in medical data mining!
Publications
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A Survey on Personalized Document-level Sentiment Analysis [Paper]
Wenhao Zhu, Jiayue Qiu, Ziyue Yu, Wuman Luo
Neurocomputing, 2024. [SCIE JCR Q1]
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Multi-Perspective Patient Representation Learning for Disease Prediction on Electronic Health Records [Paper]
Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau
Knowledge and Information Systems, 2024. [CCF Rank B, SCIE JCR Q2, extended version of ICDM23]
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MPRE: Multi-perspective Patient Representation Extractor for Disease Prediction [Paper, Slides, Code]
Ziyue Yu, Jiayi Wang, Wuman Luo, Rita Tse, Giovanni Pau
23rd IEEE International Conference on Data Mining (ICDM), 2023. [CORE Rank A*, CCF Rank B, Best-rank Paper] (regular paper, Acceptance rate: 9.37%)
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UCM: Personalized Document-level Sentiment Analysis Based on User Correlation Mining [Paper]
Jiayue Qiu, Ziyue Yu, Wuman Luo
19th International Conference on Intelligent Computing, 2023. [CCF Rank C]
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DMNet: A Personalized Risk Assessment Framework for Elderly People with Type 2 Diabetes [Paper]
Ziyue Yu, Wuman Luo, Rita Tse, Giovanni Pau
IEEE Journal of Biomedical and Health Informatics, 2023. [CORE Rank A*, SCIE JCR Q1] (Medical Informatics Cover Paper)
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Deep Learning Hybrid Models for COVID-19 Prediction [Paper]
Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau
Journal of Global Information Management, 2022. [SSCI JCR Q1, extended version of IoTBDS21]
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Deep Learning for COVID-19 Prediction based on Blood Test [Paper]
Ziyue Yu, Lihua He, Wuman Luo, Rita Tse, Giovanni Pau
6th International Conference on Internet of Things, Big Data and Security (IoTBDS), 2021. [CORE Rank C, Best Student Paper Award]
Selected Awards
- MPU PhD Full Scholarship, 2020-2023 [Link]
- Hong Kong Baptist University Merit Scholarship, 2020 [Link]
- The Second Prize of Network and Information Security Contest (CTF), 2018
- The Second Prize of Physics Technology Innovation Contest, 2018
- The Third Prize of Statistical Investigation Scheme Design Contest, 2017
- The Third Prize of Mathematical Contest in Modeling, 2016
Teaching Experience
- COMP112 Programming I, Fall 2022/2023 (TA)
- COMP8122 Selected Topics in Big Data and Smart Society, Fall 2022/2023 (TA)
- COMP6126 E-commerce with Big Data, Spring 2022/2023 (TA)
- COMP6132 Introduction to Big Data, Fall 2023/2024 (TA)
Invited Presentations
- Machine Learning on Graph, Faculty of Applied Sciences, Macao Polytechnic University, 2022
- Graph Representation Learning, School of Medical Technology and Information Engineering, Zhejiang Chinese Medical University, 2021
- How to Give an Effective Presentation, Faculty of Applied Sciences, Macao Polytechnic University, 2021
- Deep Learning on Graph, Institute of Chinese Medical Sciences & State Key Laboratory of Quality Research in Chinese Medicine, University of Macau, 2021
Professional Services
- Conference Reviewer: ICDCS, ICLR, KDD, NeurIPS Workshop, IJCNN, CHIL, ArtInHCI
- Journal Reviewer: Expert Systems With Applications, Engineering Applications of Artificial Intelligence, Journal of Biomedical Informatics, Scientific Reports, Information Fusion, Information Processing and Management
